A5015207224- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neurological disorders and treatments
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Muscle activation and electromyography studies
- Prosthetics and Rehabilitation Robotics
- Balance, Gait, and Falls Prevention
- Parkinson's Disease Mechanisms and Treatments
- Neuroscience and Neural Engineering
- Transcranial Magnetic Stimulation Studies
- Neuroscience and Neuropharmacology Research
- Blind Source Separation Techniques
Bernstein Center for Computational Neuroscience Berlin
2022-2025
Technische Universität Berlin
2025
Charité - Universitätsmedizin Berlin
2020-2024
Humboldt-Universität zu Berlin
2023-2024
Freie Universität Berlin
2023-2024
Hertie Institute for Clinical Brain Research
2019-2020
University of Tübingen
2020
Bernstein Center for Computational Neuroscience Tübingen
2019
Aggregating voxel-level statistical dependencies between multivariate time series is an important intermediate step when characterising functional connectivity (FC) larger brain regions. However, there are numerous ways in which data can be aggregated into inter-regional FC, and the advantages of each these approaches currently unclear. In this study we generate ground-truth compare performances various pipelines that estimate directed undirected linear phase-to-phase FC We test ability...
Gait disturbances are common manifestations of Parkinson's disease (PD), with unmet therapeutic needs. Inertial measurement units (IMUs) capable monitoring gait, but they lack neurophysiological information that may be crucial for studying gait in these patients. Here, we present a machine learning approach to approximate IMU angular velocity profiles and subsequently events using electromyographic (EMG) channels during overground walking patients PD. We recorded six parkinsonian while...
Abstract Elevated beta (β; 13-30 Hz) synchronization within the subthalamic nucleus (STN) characterizes bradykinesia in Parkinson’s disease (PD). β oscillations may serve as biomarkers for off-period motor symptoms and control signals adaptive, closed-loop deep brain stimulation (DBS) PD. However, their relation to striatal dopaminergic denervation PD progression remains uncertain. Research on is limited advanced stages undergoing DBS, prohibiting insights into early-stage compensatory...
Abstract Deep brain stimulation is a circuit intervention that can modulate distinct neural pathways for the alleviation of neurological symptoms in patients with disorders. In Parkinson’s disease, subthalamic deep clinically mimics effect dopaminergic drug treatment, but shared pathway mechanisms on cortex – basal ganglia networks are unknown. To address this critical knowledge gap, we combined fully invasive multisite recordings undergoing surgery normative MRI-based whole-brain...
Deep brain stimulation is a circuit intervention that can modulate distinct neural pathways for the alleviation of neurological symptoms in patients with disorders. In Parkinson's disease, subthalamic deep clinically mimics effect dopaminergic drug treatment, but shared pathway mechanisms on cortex - basal ganglia networks are unknown. To address this critical knowledge gap, we combined fully invasive multisite recordings undergoing surgery normative MRI-based whole-brain connectomics. Our...
Abstract Gait disturbances are common manifestations of Parkinson’s disease (PD), with unmet therapeutic needs. Inertial measurement units (IMU) capable monitoring gait, but they lack neurophysiological information that may be crucial for studying gait in these patients. Here, we present a machine-learning approach to approximate IMU angular velocity profiles, and subsequently events from electromyographic (EMG) channels. We recorded six parkinsonian patients while walking at least three...
Abstract Aggregating voxel-level statistical dependencies between multivariate time series is an important intermediate step when characterising functional connectivity (FC) larger brain regions. However, there are numerous ways in which data can be aggregated into inter-regional FC, and the advantages of each these approaches currently unclear. In this study we generate ground-truth compare performances various pipelines that estimate directed undirected linear phase-to-phase FC We test...
Abstract Objective Locomotion is an automated voluntary movement sustained by coordinated neural synchronization across a distributed brain network. The cerebral cortex central for adapting the locomotion pattern to environment and alterations of cortical network dynamics can lead gait impairments. Gait problems are common symptom with still unclear pathophysiology represent unmet therapeutical need in Parkinson's disease. Little known about locomotor control these patients. Methods We...
Synchronized neuronal population activity in the gamma-frequency range (>30 Hz) correlates with bottom-up drive of various visual features. It has been hypothesized that gamma-band synchronization enhances gain representations, yet evidence remains sparse. We tested a critical prediction hypothesis, which is features synchronized interact super-linearly. To test this prediction, we employed whole-head magnetencephalography human subjects and investigated if strength motion (motion coherence)...
Abstract Objective Locomotion is an automated voluntary movement sustained by coordinated neural synchronization across a distributed brain network. The cerebral cortex central for adapting the locomotion pattern to environment and alterations of cortical network dynamics can lead gait impairments. Gait problems are common symptom with still unclear pathophysiology represent unmet therapeutical need in Parkinson’s disease. Little known about locomotor control these patients. Methods We...
Abstract Phase-amplitude coupling (PAC) is a form of cross-frequency in which the amplitude fast oscillation locked to phase slow oscillation. PAC has been proposed as mechanism for integrating large-scale networks with fast-oscillating local processes brain. On signal level, can be observed single time series, reflecting dynamics, or between two potentially functional interaction distinct brain sites. To investigate role signalling, it important distinguish these cases. However, when...
Abstract Synchronized neuronal population activity in the gamma-frequency range (> 30 Hz) correlates with bottom-up drive of various visual features. It has been hypothesized that gamma-band synchronization enhances gain representations, yet evidence remains sparse. We tested a critical prediction hypothesis, which is features synchronized interact super-linearly. To test this prediction, we employed whole-head magnetencephalography (MEG) human subjects and investigated if strength motion...